Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 79% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
8 measurements spanning 7 days, net +4,906. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 238,045–244,423 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 20:28
243,687
+1,711
11 Aug 2026, 18:42
241,976
-938
10 Aug 2026, 17:00
242,914
-17
9 Aug 2026, 14:12
242,931
+633
8 Aug 2026, 16:05
242,298
+1,582
7 Aug 2026, 14:47
240,716
-786
6 Aug 2026, 13:22
241,502
+2,721
6 Aug 2026, 04:21
238,781
first reading
Engagement
128 posts held, back to 4 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.89%
avg views ÷ 243,687 subscribers
Avg views / post
16,800
128 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
128
of 128 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
128 (4 August 2026 – 12 August 2026)
Views total
2,149,169
Reactions total
24,031
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:55 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
26m 56s
Average length
35s
Measured directly from 46 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
20,246 reactions across 108 posts, in 11 distinct kinds. The most used accounts for 13.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
2,777
13.7%
👍
2,433
12.0%
🔥
2,352
11.6%
🤯
2,259
11.2%
👎
2,251
11.1%
🤔
2,178
10.8%
❤
2,123
10.5%
🤩
2,120
10.5%
😁
1,718
8.49%
🤡
20
0.099%
😢
15
0.074%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 128 of the 128 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 24,031reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 128 most recent posts we hold, published 4 August 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Друг Виктории Бони подарил ей кровать за 14 миллионов рублей
«Он не спросил про цену. Когда я прислала чек, сказал: "Хорошо, я оплачу". Он не мой бойфренд. Он просто мой друг, мне он очень нравится. И я ему тоже нравлюсь. Но он живет в Москве, а я в Монако, поэтому так», — рассказала блогерша.
👍 Картотека|Все по полочкам
Удалёнщики почти исчезли в России — их осталось меньше миллиона
Теперь такую привилегию дают лишь специалистам высшего разряда: только за прошлый год число сотрудников на дистанционке сократилось на 21.8%, до 968 000 человек
К концу 2026 года их останется около 600 000 человек, прогнозируют аналитики
👍 Картотека|Все по полочкам
Бобры «НАТО» оккупировали Калининградскую область
Местные жители два месяца жалуются на бобриную экспансию из Польши и Литвы — из-за их строек водоёмы выходят из берегов, заливая поля и заболачивая леса
Местные добровольцы уже разобрали 43 плотины «иностранных захватчиков» у границы с соседними странами, чтобы не остаться без урожая
👍 Картотека|Все по полочкам
В Москве начали сносить легендарный цветочный рынок на «Рижской»
Вместо него построят ТПУ — с него будут курсировать скоростные поезда между Москвой и Санкт-Петербургом каждые 15 минут. Строительство завершат к 2029 году.
👍 Картотека|Все по полочкам
Суд в Москве оштрафовал Telegram на общую сумму 14,6 млн руб. за отказ удалить информацию о зацеперах и экстремистах.
Также за неудаление запрещенного контента на 7,6 млн руб. оштрафован Google за отказ удалить запрещенные приложения из магазина приложений Google Play
👍 Картотека|Все по полочкам
Русских и евреев больше всего не любят в Британии, показал опрос YouGov
Англичане не хотят их видеть в стране больше, чем нигерийцев и пакистанцев, а самыми желанными оказались ирландцы, канадцы и австралийцы
👍 Картотека|Все по полочкам
Чайный набор для любителей кошачьих мемов завирусился в сети
Посуда создана по мему с кашляющим котом, у которого напиток выливается прямо изо рта
Приобрести можно на зарубежных маркетплейсах за $22 (~1 800 руб)
Идеальный подарок чайным наркоманам
👍 Картотека|Все по полочкам
Российские миллионеры массово заключают фиктивные однополые ради ВНЖ Греции
Схема позволяет двум россиянам разделить расходы на «золотую визу»: один покупает недвижимость, а второй оформляет ВНЖ как его партнёр — в итоге каждый тратит всего €125 000 вместо €250 000
Греческий ВНЖ позволяет жить в стране, путешествовать по Шенгенской зоне и открывать счета в местных банках
👍 Картотека|Все по полочкам
Привычка поздно ложиться спать говорит о более высоком уровне интеллекта, выяснили учёные из London School of Economics
В ходе масштабного исследования они установили, что люди с IQ выше 125 обычно укладываются спать ближе к 1:44 ночи, а по выходным встают позже 11:00
Обладатели средних показателей засыпают в районе 12:10, а люди с IQ ниже 75 – в 23:41
Учёные связывают это с тем, что высокоинтеллектуальным людям п…
Квартиру площадью 12 м² продают в Москве за 7 000 000 рублей
Внутри разместили кусочек кухни, двуспальную кровать и шкаф — риелтор уверяет, что это квартира на двоих
👍 Картотека|Все по полочкам
🤬70🔥55👍15😁12❤9🤯8👎7🤩6
Showing the 12 most recent of 128 posts we hold for @kartotekaio. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@kartotekaio edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
10 August 2026
Citation-graph rank
Citation-graph rank — 678,502 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Картотека” (@kartotekaio), 243,687 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kartotekaio.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.